A segmentation method for the microscopy of images of blood cells

The paper considers the problem of the segmentation of microscopy images of blood cells, its solution being the first stage of an automated analysis of a blood smear image. The applicability for this purpose of several well-known methods of image segmentation is assessed, and a segmentation method e...

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Bibliographic Details
Published in:Pattern recognition and image analysis 2015-04, Vol.25 (2), p.167-173
Main Authors: Koltsov, P. P., Kotovich, N. V., Kravchenko, A. A., Kutsaev, A. S., Kuznetsov, A. B., Osipov, A. S., Sukhenko, E. P., Zakharov, A. V.
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Analysis and Understanding of Images
Automation
Blood
Classification
Computer Science
Cytoplasm
Erythrocytes
Image Processing and Computer Vision
Image processing systems
Leukocytes
Methods
Microscopy
Pattern Recognition
Processing
Representation
Studies
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Summary:The paper considers the problem of the segmentation of microscopy images of blood cells, its solution being the first stage of an automated analysis of a blood smear image. The applicability for this purpose of several well-known methods of image segmentation is assessed, and a segmentation method employing some elements of these techniques is suggested. The approach proposed includes such steps as edge detection, contour closing, and oversegmentation elimination (based on a feature set calculated for every segment).
ISSN:1054-6618
1555-6212
DOI:10.1134/S1054661815020169